package com.wzh.mall.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.wzh.common.to.es.SkuEsModel;
import com.wzh.common.utils.R;
import com.wzh.mall.search.config.MallElasticSearchConfig;
import com.wzh.mall.search.constant.EsConstant;
import com.wzh.mall.search.feign.ProductFeignService;
import com.wzh.mall.search.service.MallSearchService;
import com.wzh.mall.search.vo.AttrResponseVo;
import com.wzh.mall.search.vo.BrandVo;
import com.wzh.mall.search.vo.SearchParam;
import com.wzh.mall.search.vo.SearchResult;
import org.apache.commons.lang.StringUtils;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.Aggregations;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

/**
 * @program: mall
 * @description:
 * @author: Mr.Wang
 * @create: 2021-09-11 08:48
 **/
@Service
public class MallSearchServiceImpl implements MallSearchService {

    @Autowired
    private RestHighLevelClient client;
    @Autowired
    private ProductFeignService feignService;


    @Override
    public SearchResult search(SearchParam param) {
        // 动态构建出查询需要的DSL语句
        SearchResult result=null;
        // 1 准备检索请求
        SearchRequest searchRequest = buildSearchRequest(param);
   
        try {
            // 2 执行检索请求
            SearchResponse response = client.search(searchRequest, MallElasticSearchConfig.COMMON_OPTIONS);


            // 3 分析响应数据封装成我们需要的数据
            result=buildSearchResult(response, param);

        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }

    /**
     * @Description: 构建结果数据
     * @Param: [response]
     * @return: com.wzh.mall.search.vo.SearchResult
     * @Author: Mr.Wang
     * @Date: 2021/9/11
     * @Time: 13:22
     */

    private SearchResult buildSearchResult(SearchResponse response,SearchParam param) {

        SearchResult result = new SearchResult();
        // 命中的记录

        SearchHits hits = response.getHits();
        // 1 返回所有查询到的商品
        List<SkuEsModel> esModels=new ArrayList<>();
        if (hits.getHits()!=null&&hits.getHits().length>0){
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if (!StringUtils.isEmpty(param.getKeyword())){
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String string = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(string);
                }
                esModels.add(esModel);
            }
        }
        result.setProducts(esModels);



        // 2 当前所有商品涉及到的属性信息i
        List<SearchResult.AttrVo> attrVos=new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket: attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            // 获取属性的id
            long attrId = bucket.getKeyAsNumber().longValue();
            attrVo.setAttrId(attrId);

            // 获取属性的名字
            ParsedStringTerms attr_name_agg = bucket.getAggregations().get("attr_name_agg");
            String attrName = attr_name_agg.getBuckets().get(0).getKeyAsString();
            attrVo.setAttrName(attrName);
            // 获取属性的值
            ParsedStringTerms attr_value_agg = bucket.getAggregations().get("attr_value_agg");

            List<String> attrValueOnes = attr_value_agg.getBuckets().stream().map(item -> {
                String keyAsString = item.getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());
            attrVo.setAttrValue(attrValueOnes);
            attrVos.add(attrVo);
        }

        result.setAttrs(attrVos);


        // 3 当前商品所涉及到的品牌信息
        List<SearchResult.BrandVo> brandVos=new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        List<? extends Terms.Bucket> bucketsBrand = brand_agg.getBuckets();
        for (Terms.Bucket bucket : bucketsBrand) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            // 找到品牌id
            String keyAsString = bucket.getKeyAsString();
            brandVo.setBrandId(Long.parseLong(keyAsString));
            // 找到品牌名字
            Aggregations aggregations = bucket.getAggregations();
            ParsedStringTerms brand_name_agg = aggregations.get("brand_name_agg");
            String brandName = brand_name_agg.getBuckets().get(0).getKeyAsString();
            brandVo.setBrandName(brandName);

            // 找到品牌img
            Aggregations aggregations_img = bucket.getAggregations();
            ParsedStringTerms brand_img_agg = aggregations_img.get("brand_img_agg");
            String brandImg = brand_img_agg.getBuckets().get(0).getKeyAsString();
            brandVo.setBrandImg(brandImg);

            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);
        // 4 当前商品所涉及到的三级分类id
        List<SearchResult.CatalogVo> catalogVos =new ArrayList<>();
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();

            // 得到分类id
            String keyAsString = bucket.getKeyAsString();
            catalogVo.setCatalogId(Long.parseLong(keyAsString));

            // 得到分类名字
            Aggregations aggregations = bucket.getAggregations();
            ParsedStringTerms catalog_name_agg = aggregations.get("catalog-name_agg");
            String catalogName = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalogName);

            catalogVos.add(catalogVo);
        }
        
        result.setCatalogs(catalogVos);

        //=============以上信息需要从聚合信息中获取==================//

        // 5 当前商品所需要分页信息
        result.setPageNum(param.getPageNum()); // 当前页码
        // 6
        long total = hits.getTotalHits().value;
        result.setTotal(total); // 总记录数
        int totalPages= ((int)total%EsConstant.PRODUCT_PAGESIZE==0)?((int)total/EsConstant.PRODUCT_PAGESIZE):((int)total/EsConstant.PRODUCT_PAGESIZE+1);
        result.setTotalPages(totalPages); // 总页码
        List<Integer> pageNavs = new ArrayList<>();
        for (int i=1;i<=totalPages;i++){
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);

        // 构建面包屑导航功能
        if (param.getAttrs()!=null&&param.getAttrs().size()>0){
            List<SearchResult.NavVo> navVos=param.getAttrs().stream().map(attr->{
                SearchResult.NavVo navVo=new SearchResult.NavVo();
                // 1、分析每一个传过来的值
                String[] split = attr.split("_");
                navVo.setNavValue(split[1]);
                R r = feignService.attrInfo(Long.parseLong(split[0]));
                result.getAttrIds().add(Long.parseLong(split[0]));
                if (r.getCode()==0){
                    AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {
                    });
                    navVo.setNavName(data.getAttrName());
                }else {
                    navVo.setNavName(split[0]);
                }
                // 2、 取消了面包屑以后，我们需要跳转到那个地方 将请求地址的url里面的当前置空
                // 拿到所有的查询条件，去掉当前
                String replace = replaceQueryString(param, attr,"attrs");
                navVo.setLink("http://search.mall.com/list.html?"+replace);

                return navVo;
            }).collect(Collectors.toList());



            result.setNavs(navVos);
        }
        // 品牌 分类也上面包屑导航
        if (param.getBrandId()!=null&&param.getBrandId().size()>0){
            List<SearchResult.NavVo> navs = result.getNavs();
            SearchResult.NavVo navVo = new SearchResult.NavVo();
            navVo.setNavName("品牌");
            // 远程查询所有品牌
//            List<Long> brandIds = result.getBrands().stream().map(brand -> {
//                return brand.getBrandId();
//            }).collect(Collectors.toList());
            R r = feignService.brandInfo(param.getBrandId());
            if (r.getCode()==0){
                List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {
                });
                StringBuffer buffer = new StringBuffer();
                String replace=null;
                for (BrandVo brandVo : brand) {
                    buffer.append(brandVo.getBrandName()+";");
                    replace=replaceQueryString(param,brandVo.getBrandId()+"","brandId");
                }
                navVo.setNavValue(buffer.toString());
                navVo.setLink("http://search.mall.com/list.html?"+replace);
            }
            navs.add(navVo);
        }
        //TODO 分类：不需要导航取消，不需要评url地址


        return result;
    }

    private String replaceQueryString(SearchParam param, String value,String key) {
        String encode=null;
        try {
            encode= URLEncoder.encode(value,"UTF-8");
            //前端编码之后 如果之前数据里面有空格，会自动替换为加号，所以 我们需要将该加号替换回来
            encode.replace("+","%20");
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
        String queryString = param.get_queryString();
        return queryString.replace("&"+key+"=" + encode, "");
    }


    /**
     * @Description: 准备检索请求  # 模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存），排序，分页，高亮，聚合分析
     * @Param: []
     * @return: org.elasticsearch.action.search.SearchRequest
     * @Author: Mr.Wang
     * @Date: 2021/9/11
     * @Time: 13:21
     */

    private SearchRequest buildSearchRequest(SearchParam param) {
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); //用来构建DSL语句的

        // 模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存）

        // 1 构建bool - query
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        // 1.1 must - 模糊匹配
        if (!StringUtils.isEmpty(param.getKeyword())){
            boolQuery.must(QueryBuilders.matchQuery("skuTitle",param.getKeyword()));
        }
        sourceBuilder.query(boolQuery);
        // 1.2 filter - 过滤（按照属性，分类，品牌，价格区间，库存）
        // 1.2.1 按照三级分类id查询
        if (param.getCatalog3Id()!=null){
            boolQuery.filter(QueryBuilders.termQuery("catalogId",param.getCatalog3Id()));
        }
        // 1.2.2 按照品牌id查询
        if (param.getBrandId()!=null&&param.getBrandId().size()>0){
            boolQuery.filter(QueryBuilders.termsQuery("brandId",param.getBrandId()));
        }
        // 1.2.3 按照属性进行查询
        if (param.getAttrs()!=null&&param.getAttrs().size()>0){

            for (String attrStr : param.getAttrs()) {
                // attrs=1_其他:安卓&attrs=2_5寸:6寸
                BoolQueryBuilder nestedBoolQuery=QueryBuilders.boolQuery();
                String[] s = attrStr.split("_");
                String attrId = s[0];  // 检索的属性id
                String[] attrValue = s[1].split(":"); // 检索的属性值
                nestedBoolQuery.must(QueryBuilders.termQuery("attrs.attrId",attrId));
                nestedBoolQuery.must(QueryBuilders.termsQuery("attrs.attrValue",attrValue));
                // 每一个属性的查询都必须实现这种嵌入式的nested查询
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedBoolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }

        }


        // 1.2.4 按照是否有库存进行查询
        if (param.getHasStock()!=null){
            boolQuery.filter(QueryBuilders.termQuery("hasStock",param.getHasStock()==1));
        }


        // 1.2.5 按照价格区间进行检索
        if (!StringUtils.isEmpty(param.getSkuPrice())){
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] split = param.getSkuPrice().split("_");
            if (split.length==2){
                // 区间
                rangeQuery.gte(split[0]).lte(split[1]);
            }else if (split.length==1){
                if (param.getSkuPrice().startsWith("_")){
                    // 说明下限为0  比如_500
                    rangeQuery.lte(split[0]);
                }
                if (param.getSkuPrice().endsWith("_")){
                    // 说明上限为0  比如500_
                    rangeQuery.gte(split[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }

        // 把以前的所有条件都拿来进行封装
        sourceBuilder.query(boolQuery);


        // 排序，分页，高亮
        // 2.1 排序
        // sort=saleCount_asc/desc
        if (!StringUtils.isEmpty(param.getSort())){
            String sort =param.getSort();
            String[] s = sort.split("_");
            SortOrder order=s[1].equalsIgnoreCase("asc")?SortOrder.ASC:SortOrder.DESC;
            sourceBuilder.sort(s[0], order);
        }
        // 2.2 分页
        // from = (pageNum-1)*size
        sourceBuilder.from((param.getPageNum()-1)*EsConstant.PRODUCT_PAGESIZE);
        sourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);
        // 2.3 高亮
        if (!StringUtils.isEmpty(param.getKeyword())){
            HighlightBuilder builder = new HighlightBuilder();
            builder.field("skuTitle");
            builder.preTags("<b style='color:red'>");
            builder.postTags("</b>");
            sourceBuilder.highlighter(builder);
        }


        // 聚合分析
        // 1 品牌聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.size(50).field("brandId");

        // 1.1 品牌聚合的子聚合
        brand_agg.subAggregation(
                AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(
                AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        sourceBuilder.aggregation(brand_agg);

        // 2 分类聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog-name_agg").size(1).field("catalogName"));

        sourceBuilder.aggregation(catalog_agg);

        // 3 属性聚合

        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        // 聚合出所有的attrId
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        // 聚合出attrId对应的所有的attrName
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        // 聚合出attrId对应的所有的可能取值
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        attr_agg.subAggregation(attr_id_agg);

        sourceBuilder.aggregation(attr_agg);

        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);

        String s = sourceBuilder.toString();
        System.out.println(s);
        return searchRequest;
    }



}
